1 About

1.1 Citation

If you wish to use any of the material from this report please cite as:

Ben Anderson (2019) NZ GREEN Grid Household Electricity Demand Data: EECA Data Processing (Part A) Report v0.9b , Centre for Sustainability, University of Otago: Dunedin.

1.2 Report circulation:

Public – this report is intended for publication following EECA approval.

1.3 License

This work is made available under the Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) License.

This means you are free to:

Share — copy and redistribute the material in any medium or format
Adapt — remix, transform, and build upon the material for any purpose, even commercially.

Under the following terms:

Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.

Notices:

You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation.
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.

For the avoidance of doubt and explanation of terms please refer to the full license notice and legal code.

1.4 History

You may not be reading the most recent version of this report. Please check:

the github repository and specifically;
this report’s edit history

1.5 Support

This work was supported by:

The New Zealand Energy Efficiency and Conservation Authority (EECA)

2 Introduction

This report uses the full New Zealand GREEN Grid household electricity demand study research data to:

test the feasibility of multi-year data analysis beyond the single year made possible by the public available data (Stephenson et al. 2017);
impute total dwelling load (W) per minute using the original circuit level data;
produce a smaller mean half-hourly power demand (W) per circuit (and total load) per dwelling dataset for further analysis;
extract half-hourly data for specified circuits.

This report describes the results of this work and directs the reader to relevant R code where necessary.

All code used to create this report is available from:

https://github.com/CfSOtago/GREENGridEECA

The archived and most recent version of the report is available from:

https://cfsotago.github.io/GREENGridEECA/

3 Data

The NZ GREEN Grid household electricity demand study recruited a sample of c 40 households in each of two regions of New Zealand (Stephenson et al. 2017). The first sample was recruited in early 2014 and the second in early 2015. Research data includes:

1 minute electricity power (W) data was collected for each dwelling circuit using GridSpy monitors on each power circuit (and the incoming power). The power values represent mean(W) over the minute preceding the observation timestamp;
Dwelling & appliance surveys;
Occupant time-use diaries (focused on energy use).

The data collection was supported by the New Zealand Ministry of Business, Innovation and Employment (MBIE) through the Renewable Energy and the Smart Grid (GREEN Grid) grant (Contract ID: UOCX1203).

4 Multi-year data availability

Whilst the GREEN Grid project collected data from 2014-01-06 to 2018-11-22, we do not have complete multi-year coverage of the 45 dwellings for whom data exists.

As Figure 4.1 shows data is available for most of the 24 dwellings in the Taranaki region from mid 2014 and for most of the 20 dwellings in Hawkes Bay from early 2015. In most cases the ‘right’ number of observations were received per half hour (30) when the dwellings were sending data. However not all dwellings sent data continuously with substantial attrition by 2017 (Figure 4.2).

Figure 4.1: Mean number of observations per circuit per half hour

Figure 4.2: Number of dwellings sending data per day

For clarity, Figure 4.3 shows the mean daily number of dwellings present in the data in each year and season for each region. Whilst it is clear that 2015 provides the highest level of reporting dwellings, it also shows that it would be at least possible to calculate seasonal summaries for several years.

Figure 4.3: Active dwellings by season

However, it should be noted that:

not all dwellings contained the appliance circuits of analytic interest;
two dwellings (rf_01 and rf_02) were test installs in researchers’ homes for whom no survey data exists;
one dwelling (rf_46) has ambiguous circuit labels and so should be ignored;
a number of dwellings have a very high proportion of -ve power values for some circuits which is probably due to PV installation (e.g. rf_14,rf_25,rf_26,rf_43) and so should be ignored if total dwelling load is required;
similarly some dwellings have a small number of -ve power values on non-PV circuits at some times, possibly due to brief incorrect fitting of the monitors.

As a result the effective number of dwellings available for any given analysis will always be lower than the numbers reported above and should be evaluated on a case by case basis.

5 Imputation of ‘total load’ per minute per dwelling

Whilst in theory the calculation of total load in any given minute should be a matter of merely summing all monitored circuits, in practice the task is not quite this simple. There are a number of reasons for this:

for some dwellings the hot water circuit is separately metered and thus monitored but for others it is part of the overall ‘incomer/mains’ demand;
photovoltaic panels were installed in several dwellings which produce negative power values and so would reduce apparent demand if naively aggregated;
several dwellings report either systematic or intermittent negative values yet do not have PV installations.

Our previously work has shown that with appropriate care it is possible to derive best effort estimates of total dwelling power load by summing a small number of particular circuits for each dwelling (Anderson 2019). However the issues described above mean that users should:

exclude dwellings with (link) IDs: rf_14,rf_25,rf_26 and rf_43 due to substantial unexplained negative values;
exclude other -ve values on a per-value basis. We recommend setting such values to NA (not 0);
include dwellings known to have PV only if analysis of demand during non-daylight hours is being undertaken or if net demand is of interest.

Separately, for reasons explained elsewhere we also recommend removing rf_46 from the data prior to analysis.

In all cases we recommend that users check the data carefully before analysis and document any filtering they apply.

We have therefore created a new dataset for each dwelling which comprises the estimated total load per minute for each dwelling for the entire time frame for which we have data (ref Figure 4.2). For ease of use this data is available as:

an additional set of observations added to the end of each clean data file with circuit label set to imputedTotalDemand_circuitsToSum_v1.1 indicating that the aggregation code used the circuitsToSum definition v1.1;
a single file containing only the estimated total load per minute per dwelling.

Note that we have not applied the exclusion rules described above. In order to ensure all data is available if required, these rules should only be applied just prior to analysis. The files are listed in Table 5.1. Whilst we can make these data files available, potential users should note that they are larger than the original data files. The single file containing only the estimated total load per minute per dwelling is especially large.

Table 5.1: Size of clean data files with estimated load
file	Mb (gzipped)
all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	497.70
rf_01_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	35.43
rf_02_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	21.24
rf_06_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	78.65
rf_07_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	83.80
rf_08_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	63.28
rf_09_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	21.92
rf_10_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	69.41
rf_11_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	80.80
rf_12_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	15.83
rf_13_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	98.29
rf_14_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	68.16
rf_15b_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	16.53
rf_16_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	14.47
rf_17a_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	38.17
rf_17b_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	10.32
rf_18_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	23.23
rf_19_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	118.11
rf_20_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	22.37
rf_21_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	38.80
rf_22_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	78.65
rf_23_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	91.03
rf_24_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	86.61
rf_25_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	28.56
rf_26_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	76.03
rf_27_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	36.07
rf_28_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	3.49
rf_29_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	74.76
rf_30_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	29.38
rf_31_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	67.48
rf_32_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	20.82
rf_33_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	66.67
rf_34_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	30.87
rf_35_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	32.93
rf_36_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	57.78
rf_37_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	65.21
rf_38_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	35.26
rf_39_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	56.52
rf_40_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	14.53
rf_41_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	55.73
rf_42_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	38.96
rf_43_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	11.20
rf_44_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	67.23
rf_45_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	32.28
rf_46_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	160.69
rf_47_all_1min_data_withImputedTotal_circuitsToSum_v1.1.csv.gz	21.95

Table 5.2 shows basic statistics for the estimated 1 minute level load for each dwelling and illustrates some of the issues described above.

Table 5.2: Basic statistics for the estimated 1 minute level load (W) for each dwelling
linkID	PV Inverter	Location	nObs	meanW	minW	maxW	sdW
rf_01	NA	Test installs	851,716	1662.15	0.00	13560.50	1742.03
rf_02	NA	Test installs	581,156	719.25	-330.38	10204.00	998.49
rf_06		Taranaki	1,883,074	941.95	-1436.21	10804.38	1128.38
rf_07		Taranaki	2,010,201	604.47	-263.00	9508.46	656.20
rf_08		Taranaki	1,548,193	1044.98	35.14	11973.94	1144.81
rf_09		Taranaki	527,883	648.63	-16.00	8586.00	757.80
rf_10		Taranaki	1,822,053	596.12	27.68	9860.26	772.91
rf_11		Taranaki	2,127,141	545.92	14.00	11855.49	885.84
rf_12		Taranaki	398,134	779.81	-406.00	10439.03	1217.16
rf_13		Taranaki	2,179,995	1455.69	92.46	11580.60	1188.63
rf_14		Taranaki	1,783,337	612.96	-1758.08	9894.88	739.48
rf_15b		Taranaki	390,846	1255.16	-1062.00	10536.10	1202.39
rf_16		Taranaki	372,306	538.28	-262.00	8691.89	821.54
rf_17a		Taranaki	959,929	526.92	-1084.72	9041.53	788.89
rf_17b		Taranaki	272,150	351.03	32.17	6495.37	481.33
rf_18		Taranaki	540,446	1444.19	-1842.66	13079.07	1901.81
rf_19	yes	Taranaki	2,109,122	-589.54	-12407.52	7363.92	2035.90
rf_20		Taranaki	543,382	813.60	-1273.19	9739.43	1083.75
rf_21		Taranaki	1,010,258	483.36	31.00	7990.10	607.06
rf_22		Taranaki	1,885,333	1291.44	47.92	11535.40	1342.73
rf_23	yes	Taranaki	2,181,070	1078.65	-1871.83	11015.80	1126.36
rf_24	yes	Taranaki	2,107,577	76.59	-7542.61	9929.11	1518.25
rf_25		Taranaki	706,148	859.16	0.00	11814.74	1071.90
rf_26		Taranaki	1,938,549	707.24	-482.36	9366.50	997.70
rf_27		Taranaki	908,658	1118.20	58.00	9569.40	1062.34
rf_28	yes	Hawkes Bay	86,311	-135.48	-3366.52	7960.34	983.91
rf_29		Hawkes Bay	1,749,695	1606.68	76.85	12011.87	1400.14
rf_30		Hawkes Bay	743,770	743.41	30.00	8706.07	751.49
rf_31		Hawkes Bay	1,760,227	642.32	24.00	10547.60	864.45
rf_32		Hawkes Bay	541,109	677.75	0.00	8274.91	850.74
rf_33		Hawkes Bay	1,601,314	814.45	63.47	9654.25	966.47
rf_34		Hawkes Bay	730,613	1159.12	0.00	13043.50	1189.61
rf_35		Hawkes Bay	781,977	1339.89	-622.00	10373.54	1223.08
rf_36		Hawkes Bay	1,605,647	829.98	0.00	14826.00	1301.66
rf_37		Hawkes Bay	1,763,330	583.05	51.00	9365.54	1019.71
rf_38		Hawkes Bay	886,482	1058.81	-179.00	9455.19	1383.36
rf_39		Hawkes Bay	1,537,301	1920.08	-199.00	15593.20	1767.34
rf_40		Hawkes Bay	348,217	1191.50	24.00	12527.77	1326.90
rf_41		Hawkes Bay	1,372,961	1014.34	54.83	12857.00	1053.56
rf_42		Hawkes Bay	975,198	1230.27	33.61	12383.70	1563.55
rf_43		Hawkes Bay	296,190	626.90	0.00	6687.53	719.72
rf_44		Hawkes Bay	1,762,049	1079.67	32.00	12165.12	1573.37
rf_45		Hawkes Bay	819,601	771.95	23.90	10385.13	1237.62
rf_46		Hawkes Bay	1,939,634	1622.95	92.00	12979.28	1399.64
rf_47		Hawkes Bay	588,348	415.53	21.00	11171.30	673.20

6 Development of a half-hourly power demand dataset

In response to EECA’s request we have used the per-dwelling files listed in Table 5.1 and the code available from our github repo to produce an aggregated half-hourly power demand dataset for each dwelling.

These files contain:

r_dateTimeHalfHour (in UTC) in half hours;
number of observations, mean, min, max and standard deviation of power (W) for each half hour;
circuit label with total load labelled as imputedTotalDemand_circuitsToSum_v1.1;
dwelling linkID (for linkage to survey data).

Table 6.1 shows the first few rows of one of these files.

Table 6.1: Half hourly data format with example data
linkID	circuit	r_dateTimeHalfHour	meanPowerW	nObs	sdPowerW	minPowerW	maxPowerW	circuitLabel	circuitID
rf_01	Heating$1633	2014-01-06 16:00:00	28.39	2	0.00	28.39	28.39	Heating	1633
rf_01	Heating$1633	2014-03-07 15:30:00	28.27	4	0.24	27.91	28.39	Heating	1633
rf_01	Heating$1633	2014-03-07 16:00:00	393.55	19	423.92	27.91	925.09	Heating	1633
rf_01	Heating$1633	2014-03-07 16:30:00	909.96	30	7.65	897.09	921.28	Heating	1633
rf_01	Heating$1633	2014-03-07 17:00:00	896.36	30	2.77	891.39	903.27	Heating	1633
rf_01	Heating$1633	2014-03-07 17:30:00	905.08	30	17.19	885.21	936.97	Heating	1633

The resulting files are listed in Table 6.2.

Table 6.2: Size of clean half hourly data files
file	Mb (gzipped)
rf_01_allObs_halfHourly.csv.gz	3.71
rf_02_allObs_halfHourly.csv.gz	2.25
rf_06_allObs_halfHourly.csv.gz	8.26
rf_07_allObs_halfHourly.csv.gz	8.92
rf_08_allObs_halfHourly.csv.gz	5.73
rf_09_allObs_halfHourly.csv.gz	2.54
rf_10_allObs_halfHourly.csv.gz	7.21
rf_11_allObs_halfHourly.csv.gz	7.97
rf_12_allObs_halfHourly.csv.gz	1.71
rf_13_allObs_halfHourly.csv.gz	10.48
rf_14_allObs_halfHourly.csv.gz	7.43
rf_15b_allObs_halfHourly.csv.gz	1.59
rf_16_allObs_halfHourly.csv.gz	1.75
rf_17a_allObs_halfHourly.csv.gz	3.73
rf_17b_allObs_halfHourly.csv.gz	1.03
rf_18_allObs_halfHourly.csv.gz	2.21
rf_19_allObs_halfHourly.csv.gz	10.40
rf_20_allObs_halfHourly.csv.gz	2.37
rf_21_allObs_halfHourly.csv.gz	3.88
rf_22_allObs_halfHourly.csv.gz	8.42
rf_23_allObs_halfHourly.csv.gz	9.19
rf_24_allObs_halfHourly.csv.gz	7.90
rf_25_allObs_halfHourly.csv.gz	3.09
rf_26_allObs_halfHourly.csv.gz	7.92
rf_27_allObs_halfHourly.csv.gz	3.10
rf_28_allObs_halfHourly.csv.gz	0.37
rf_29_allObs_halfHourly.csv.gz	6.54
rf_30_allObs_halfHourly.csv.gz	2.84
rf_31_allObs_halfHourly.csv.gz	6.60
rf_32_allObs_halfHourly.csv.gz	1.84
rf_33_allObs_halfHourly.csv.gz	6.29
rf_34_allObs_halfHourly.csv.gz	3.23
rf_35_allObs_halfHourly.csv.gz	3.21
rf_36_allObs_halfHourly.csv.gz	4.99
rf_37_allObs_halfHourly.csv.gz	7.10
rf_38_allObs_halfHourly.csv.gz	4.16
rf_39_allObs_halfHourly.csv.gz	6.28
rf_40_allObs_halfHourly.csv.gz	1.53
rf_41_allObs_halfHourly.csv.gz	6.39
rf_42_allObs_halfHourly.csv.gz	4.01
rf_43_allObs_halfHourly.csv.gz	1.06
rf_44_allObs_halfHourly.csv.gz	6.58
rf_45_allObs_halfHourly.csv.gz	3.09
rf_46_allObs_halfHourly.csv.gz	18.22
rf_47_allObs_halfHourly.csv.gz	2.03

Further, these per-dwelling files have been used to attempt to create single data files containing all observations for the circuits or (partial) circuit labels set out in the following sections. Table 8.1 in Section 8.1 of the Data Annex shows the unique circuit labels available as a guide to what can be meaningfully extracted. The process of extraction uses partial string matching so, for example, the string Lighting would match to circuits with the following labels:

"Lighting"
"Lighting and spa"
"Lighting and garage"

but not:

"Outside Lights"

Note that the process may therefore match a number of circuits and in some cases circuits may contain other appliances. Analysis should therefore proceed with caution since some circuits may have been missed that were required and some extracted which were not. For the avoidance of doubt, the code used to extract these circuits should be checked against Table 8.1 in Section 8.1 of the Data Annex.

In each section we extract and save the relevant half-hourly observations and provide two plots:

a tile plot showing the data avilability and mean power for the extracted circuits over the entire data collection;
a mean power demand profile plot by time of day and season as a sense-check on the patterns of demand for the extracted circuits.

6.1 Lighting

filter <- "Lighting"
dt <- hhPowerDataDT[circuitLabel %like% filter] # extraction

In this section we extract every record where:

the string “Lighting” is found in circuit

Table 6.3 shows summary statistics of the half-hourly mean values for all observations extracted by circuit label.

Table 6.3: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
Lighting	820108	20	105.181	-127.277	3411.401	234.672
Lighting & 2 Towel Rail	56686	1	277.431	0.000	2101.948	183.183
Lighting (inc heat lamps)	32529	1	361.126	0.000	3528.905	538.110
Lighting 1/2	9236	1	-1.737	-68.609	14.600	6.008
Lighting 2/2	9236	1	7.948	0.000	166.436	19.380
Lighting1	19407	1	440.832	41.400	2187.108	312.316
Lighting2	19407	1	42.556	-127.277	415.553	68.866
Lighting_Imag	7583	1	9.507	-96.211	471.371	68.458

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourLighting.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourLighting.csv

Figure 6.1: Lighting data summary

Figure 6.2: Lighting data summary

We therefore have Lighting data for 27 dwellings.

6.2 Hot water

# more complex (we could de-capitalise first)
filter1 <- "Hot water" # or
filter2 <- "Hot Water"

dt <- hhPowerDataDT[circuitLabel %like% filter1 |
                                circuitLabel %like% filter2]

In this section we extract every record where:

the string “Hot water” is found in circuit
the string “Hot Water” is found in circuit

Table 6.4 shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.4: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
Hot Water	32452	2	305.402	0.000	2215.737	495.432
Hot Water (2 elements)	56686	1	398.646	0.000	3317.472	800.113
Hot Water - Controlled	1026607	23	289.521	-525.423	3317.720	642.417
Hot Water - Controlled (HEMS)	76868	1	264.077	0.000	1459.965	435.468
Hot Water - Controlled1	19407	1	264.633	-0.570	2137.988	613.222
Hot Water - Controlled2	19407	1	2.893	-26.632	56.671	6.783
Hot Water - Controlled_Imag	7583	1	1.385	-32.408	89.840	4.947
Hot Water - Uncontrolled	136539	4	308.662	-208.233	3901.050	624.055
Hot Water Cpbd Heater- Cont	74492	1	75.778	0.000	1955.707	152.815
Hot water	28401	1	216.747	0.000	1874.646	470.285
Incomer 1 - Hot Water - Cont	13310	1	431.691	0.000	3057.669	763.904

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourHotWater.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourHotWater.csv

Figure 6.3: Hot water data summary

Figure 6.4: Hot water data summary

We therefore have Hot Water data for 37 dwellings.

6.3 Heat pumps

filter1 <- "Heat Pump"

dt <- hhPowerDataDT[circuitLabel %like% filter1]

In this section we extract every record where:

the string “Heat Pump” is found in circuit

Table 6.5 shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.5: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
Bedroom & Lounge Heat Pumps	74276	1	92.887	0.000	2555.719	196.406
Downstairs (inc 1 Heat Pump)	76421	1	-8.075	-2583.502	2967.435	458.986
Heat Pump	667260	18	92.005	-64.270	4982.931	285.687
Heat Pump & 2 x Bathroom Heat	19625	1	119.058	0.000	3559.722	368.699
Heat Pump & Bedroom 2	17605	1	153.405	-26.877	3242.937	320.690
Heat Pump & Kitchen Appliances	59922	1	592.044	0.000	3760.920	479.634
Heat Pump & Lounge	74492	1	227.028	0.000	3314.134	374.529
Heat Pump & Misc	18124	1	176.614	-173.072	1701.146	225.030
Heat Pump & Washing Machine	33684	1	113.523	0.000	3120.887	268.412
Heat Pump (x2) & Lounge Power	11618	1	330.668	0.000	5340.914	710.990
Heat Pumps (2x) & Power	81989	1	116.971	-242.388	2959.364	291.750
Heat Pumps (2x) & Power1	19407	1	235.390	5.915	2959.364	284.451
Heat Pumps (2x) & Power2	19407	1	-66.280	-241.699	249.051	60.350
Heat Pumps (2x) & Power_Imag	7583	1	-105.076	-269.724	250.487	50.018
Kitchen Appliances & Heat Pump	55442	1	272.446	62.990	3180.312	264.583
Theatre Heat Pump	74276	1	2.908	-3.267	999.087	28.316
Upstairs Heat Pumps	76421	1	151.876	-46.290	2762.926	366.908

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourHeatPump.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourHeatPump.csv

Figure 6.5: Heat Pump data summary

Figure 6.6: Heat Pump data summary

We therefore have Heat Pump data for 34 dwellings.

6.4 Kitchen

Noting that this may include other areas of the dwelling…

filter1 <- "Kitchen"

dt <- hhPowerDataDT[circuitLabel %like% filter1]

In this section we extract every record where:

the string “Kitchen” is found in circuit

Table 6.6 and shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.6: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
Heat Pump & Kitchen Appliances	59922	1	592.044	0.000	3760.920	479.634
Hob & Kitchen Appliances	23570	1	349.554	0.000	2379.292	319.873
Kitchen	190450	3	89.979	0.000	2273.916	159.578
Kitchen & Bedrooms	81989	1	111.272	-45.302	2106.422	165.294
Kitchen & Bedrooms1	19407	1	117.717	0.000	1436.520	170.837
Kitchen & Bedrooms2	19407	1	39.627	-37.738	205.681	69.900
Kitchen & Bedrooms_Imag	7583	1	98.201	-41.499	204.522	79.882
Kitchen & Laundry	139301	2	327.456	0.000	4445.761	331.461
Kitchen Appliances	850539	22	119.651	-586.962	3484.788	210.113
Kitchen Appliances & Bedrooms	12416	1	39.718	0.000	2247.657	73.991
Kitchen Appliances & Garage	33684	1	46.272	-2.523	1952.114	178.958
Kitchen Appliances & Heat Pump	55442	1	272.446	62.990	3180.312	264.583
Kitchen Appliances & Laundry	143802	2	170.632	-41.100	3144.275	202.388
Kitchen Appliances & Lounge	13310	1	147.102	-1.686	2063.290	195.101
Kitchen Appliances & Ventilati	18032	1	438.888	-500.265	3044.483	323.134
Kitchen Power & Heat, Lounge	19625	1	142.513	13.810	2670.404	180.314
Kitchen power	28401	1	203.905	0.000	3048.565	296.531
Kitchen, Dining & Office	33011	1	118.837	0.000	2221.450	181.845
Kitchen, Laundry & Beds 1&3	30305	1	344.661	19.907	2555.615	316.372
Kitchen, Laundry & Ventilation	76868	1	240.002	41.791	3810.431	224.100
Laundry & Kitchen	24801	1	15.004	0.000	1073.849	34.050
Laundry & Kitchen Appliances	13040	1	259.593	-564.167	4637.651	401.028
Oven & Kitchen Appliances	18124	1	262.494	39.133	3397.599	278.561

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourKitchen.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourKitchen.csv

Figure 6.7: Kitchen data summary

Figure 6.8: Kitchen data summary

We therefore have Kitchen data for 48 dwellings.

6.5 Non-heat pump ‘Heat’

Noting that this circuit label may include other appliances…

# more complex
filter1 <- "Heat"
# and not "Heat Pump" 
dt <- hhPowerDataDT[circuitLabel %like% filter1 &
                      !circuitLabel %like% "Heat Pump"]

In this section we extract every record where:

the string “Heat” is found in circuit but excluding ‘Heat Pump’

Table 6.7 shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.7: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
Heating	47813	2	635.647	0.00	7084.992	959.578
Hot Water Cpbd Heater- Cont	74492	1	75.778	0.00	1955.707	152.815
Kitchen Power & Heat, Lounge	19625	1	142.513	13.81	2670.404	180.314

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourNonHP_Heat.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourNonHP_Heat.csv

Figure 6.9: Heat data summary

Figure 6.10: Heat data summary

We therefore have non Heat Pump Heat data for 4 dwellings.

6.6 Refrigerator/Fridge

Noting that this circuit label may include other appliances…

filter1 <- "Fridge"

dt <- hhPowerDataDT[circuitLabel %like% filter1]

In this section we extract every record where:

the string “Fridge” is found in circuit

Table 6.8 shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.8: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
Bed 2, 2nd Fridge	30311	1	80.180	0.000	926.520	159.651
Fridge	53096	2	81.083	0.000	1212.828	104.190
Laundry & 2nd Fridge Freezer	51639	1	146.050	0.000	3843.133	250.991
Laundry & Fridge Freezer	63760	1	55.401	0.000	1136.268	67.517
Laundry & Garage Fridge	27332	1	37.189	0.000	1716.550	82.971
Laundry, Fridge & Freezer	71418	1	97.933	-25.632	1286.748	55.375
Laundry, Fridge & Microwave	13310	1	63.840	-26.408	993.040	52.576
Laundry, Garage Fridge Freezer	26083	1	124.969	25.640	2389.454	92.344
Laundry, Sauna & 2nd Fridge	68111	1	63.532	-7.444	2557.823	77.111

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourFridge.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourFridge.csv

Figure 6.11: Fridge data summary

Figure 6.12: Fridge data summary

We therefore have Fridge data for 10 dwellings.

6.7 Freezer

Noting that this circuit label may include other appliances…

filter1 <- "Freezer"

dt <- hhPowerDataDT[circuitLabel %like% filter1]

In this section we extract every record where:

the string “Freezer” is found in circuit

Table 6.9 shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.9: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
Laundry & 2nd Fridge Freezer	51639	1	146.050	0.000	3843.133	250.991
Laundry & Freezer	32529	1	131.294	0.000	1633.096	49.098
Laundry & Fridge Freezer	63760	1	55.401	0.000	1136.268	67.517
Laundry & Garage Freezer	24373	1	104.939	0.000	2209.190	135.381
Laundry, Fridge & Freezer	71418	1	97.933	-25.632	1286.748	55.375
Laundry, Garage Fridge Freezer	26083	1	124.969	25.640	2389.454	92.344

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourFreezer.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourFreezer.csv

Figure 6.13: Freezer data summary

Figure 6.14: Freezer data summary

We therefore have Freezer data for 6 dwellings.

6.8 Oven

Noting that this circuit label may include other appliances…

filter1 <- "Oven"

dt <- hhPowerDataDT[circuitLabel %like% filter1]

In this section we extract every record where:

the string “Oven” is found in circuit

Table 6.10 shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.10: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
Incomer 1 - Uncont inc Oven	12416	1	61.806	0.000	2251.039	163.328
Incomer 1 - inc Top Oven	9236	1	137.337	0.000	2831.723	241.952
Incomer 2 - Uncont - Inc Oven	17605	1	241.256	-26.040	3920.391	409.398
Incomer 2 - Uncont - inc Oven	32019	1	237.832	-376.067	4797.083	373.024
Incomer 2 - Uncont inc Oven	59477	1	102.715	-1372.399	2974.610	179.291
Incomer 2 - inc Bottom Oven	9236	1	216.669	36.218	2333.497	205.168
Oven	690851	15	37.713	-1067.563	3676.903	195.803
Oven & Hob	266871	4	57.893	-24.645	3919.073	258.710
Oven & Hobb	24801	1	26.524	0.000	2908.371	163.390
Oven & Kitchen Appliances	18124	1	262.494	39.133	3397.599	278.561
Oven & Oven Wall Appliances	30311	1	38.181	0.000	2495.701	225.925
Oven, Hob & Microwave	55442	1	36.873	0.000	3614.151	212.934
Wall Oven	19625	1	26.402	-2.423	2473.255	177.663

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourOven.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourOven.csv

Figure 6.15: Oven data summary

Figure 6.16: Oven data summary

We therefore have Oven data for 30 dwellings.

6.9 Photovoltaic panels

Noting that this circuit label may include other appliances…

filter1 <- "PV"

dt <- hhPowerDataDT[circuitLabel %like% filter1]

In this section we extract every record where:

the string “PV” is found in circuit

Table 6.11 shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.11: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
PV	71418	1	-797.512	-4549.259	5.767	1233.125
PV & Garage	2885	1	-489.754	-3071.270	93.182	837.672
PV & Storage	76868	1	-99.093	-2044.631	2049.756	406.343
PV 1	74276	1	-595.107	-3966.106	38.187	939.615
PV 2	74276	1	-605.907	-4037.073	27.978	955.533

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourPV.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourPV.csv

## Scale for 'fill' is already present. Adding another scale for 'fill',
## which will replace the existing scale.

Figure 6.17: PV data summary

Figure 6.18: PV data summary

We therefore have Oven data for 5 dwellings.

6.10 Total load

dt <- hhPowerDataDT[circuitLabel %like% "imputedTotalDemand"]

In this section we extract every record where:

the string “imputedTotalDemand” is found in circuit

Table 6.12 shows the mean power (mean of the half-hourly mean values) for all observations extracted by circuit label.

Table 6.12: Summary statistics for extract
circuitLabel	nObs	nDwellings	meanW	minW	maxW	sdW
imputedTotalDemand_circuitsToSum_v1.1	1828811	45	866.257	-7627.66	10981.59	1161.741

## Gziping /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourImputedTotalDemand.csv

## Gzipped /Users/ben/Data/NZ_GREENGrid/safe//gridSpy/halfHour/extracts/halfHourImputedTotalDemand.csv

Figure 6.19: Total load data summary

Figure 6.20: Total load data summary

We therefore have imputedTotalDemand data for 45 dwellings.

7 Summary

This report used the full New Zealand GREEN Grid household electricity demand study research data to:

test the feasibility of multi-year data analysis beyond the single year made possible by the public available data (Stephenson et al. 2017). We conclude that multi-year analysis is feasible but potentially limited due to sample attrition over time;
impute total dwelling load (W) per minute using the original circuit level data - completed;
produce a smaller mean half-hourly power demand (W) per circuit (and total load) per dwelling dataset for further analysis - completed;
extract half-hourly data for specified circuits - completed.

This report described the results of this work and directed the reader to relevant R code where necessary.

All code used to create this report is available from:

https://github.com/CfSOtago/GREENGridEECA

The archived and most recent version of the report is available from:

https://cfsotago.github.io/GREENGridEECA/

The half-hourly mean power demand data together with the circuit level extracts can be made available on request.

8 Data Annex

8.1 Circuit labels (all)

Table 8.1: Summary statistics by circuit label
circuitLabel	nObs	nDwellings	meanW
Bed 2, 2nd Fridge	30311	1	80.179734
Bedroom & Lounge Heat Pumps	74276	1	92.887207
Bedrooms & Lounge	60754	1	130.087294
Cooking Bath tile heat	19412	1	135.770702
Downstairs (inc 1 Heat Pump)	76421	1	-8.074854
Fridge	53096	2	81.082776
Hallway & Washing Machine	12416	1	108.155741
Heat Pump	667260	18	92.005183
Heat Pump & 2 x Bathroom Heat	19625	1	119.058261
Heat Pump & Bedroom 2	17605	1	153.405256
Heat Pump & Kitchen Appliances	59922	1	592.044069
Heat Pump & Lounge	74492	1	227.028306
Heat Pump & Misc	18124	1	176.614469
Heat Pump & Washing Machine	33684	1	113.522523
Heat Pump (x2) & Lounge Power	11618	1	330.667698
Heat Pumps (2x) & Power	81989	1	116.970626
Heat Pumps (2x) & Power1	19407	1	235.389913
Heat Pumps (2x) & Power2	19407	1	-66.279776
Heat Pumps (2x) & Power_Imag	7583	1	-105.075756
Heating	47813	2	635.647001
Hob	105656	3	20.586993
Hob & Kitchen Appliances	23570	1	349.553675
Hot Water	32452	2	305.402252
Hot Water (2 elements)	56686	1	398.645643
Hot Water - Controlled	1026607	23	289.520647
Hot Water - Controlled (HEMS)	76868	1	264.077055
Hot Water - Controlled1	19407	1	264.633198
Hot Water - Controlled2	19407	1	2.892765
Hot Water - Controlled_Imag	7583	1	1.385089
Hot Water - Uncontrolled	136539	4	308.662463
Hot Water Cpbd Heater- Cont	74492	1	75.778150
Hot water	28401	1	216.747444
Incomer - All	394118	12	774.270597
Incomer - Uncontrolled	927032	17	759.939524
Incomer - Uncontrolled1	19407	1	1602.818895
Incomer - Uncontrolled2	19407	1	308.790044
Incomer - Uncontrolled_Imag	7583	1	164.224745
Incomer -Uncontrolled	63760	1	291.470842
Incomer 1	13040	1	693.701816
Incomer 1 - All	142387	2	-28.388060
Incomer 1 - Hot Water - Cont	13310	1	431.690584
Incomer 1 - Uncont - Inc Hob	17605	1	407.190261
Incomer 1 - Uncont - inc Hob	32019	1	200.584456
Incomer 1 - Uncont inc Oven	12416	1	61.805799
Incomer 1 - Uncont inc Stove	59477	1	280.638399
Incomer 1 - Uncontrolled	105466	3	254.771216
Incomer 1 - Uncontrolled	23570	1	462.200693
Incomer 1 - inc Top Oven	9236	1	137.337266
Incomer 2	13040	1	561.389137
Incomer 2 - All	142387	2	62.285760
Incomer 2 - Uncont - Inc Oven	17605	1	241.256073
Incomer 2 - Uncont - inc Oven	32019	1	237.832149
Incomer 2 - Uncont inc Oven	59477	1	102.715324
Incomer 2 - Uncont inc Stove	12416	1	176.843124
Incomer 2 - Uncontrolled	118776	4	404.743984
Incomer 2 - Uncontrolled	23570	1	397.272814
Incomer 2 - inc Bottom Oven	9236	1	216.669305
Incomer 3 - Uncontrolled	13310	1	93.383268
Incomer Voltage	48543	1	233.044650
Kitchen	190450	3	89.979009
Kitchen & Bedrooms	81989	1	111.271795
Kitchen & Bedrooms1	19407	1	117.717179
Kitchen & Bedrooms2	19407	1	39.627458
Kitchen & Bedrooms_Imag	7583	1	98.201280
Kitchen & Laundry	139301	2	327.456494
Kitchen Appliances	850539	22	119.650595
Kitchen Appliances & Bedrooms	12416	1	39.718440
Kitchen Appliances & Garage	33684	1	46.272475
Kitchen Appliances & Heat Pump	55442	1	272.445819
Kitchen Appliances & Laundry	143802	2	170.631882
Kitchen Appliances & Lounge	13310	1	147.101534
Kitchen Appliances & Ventilati	18032	1	438.888107
Kitchen Power & Heat, Lounge	19625	1	142.513254
Kitchen power	28401	1	203.905063
Kitchen, Dining & Office	33011	1	118.837116
Kitchen, Laundry & Beds 1&3	30305	1	344.660508
Kitchen, Laundry & Ventilation	76868	1	240.002448
Laundry	330360	9	34.930961
Laundry	63527	1	33.075498
Laundry & 2nd Fridge Freezer	51639	1	146.050245
Laundry & Bedrooms	81989	1	167.521191
Laundry & Bedrooms1	19407	1	285.920723
Laundry & Bedrooms2	19407	1	105.456512
Laundry & Bedrooms_Imag	7583	1	4.987965
Laundry & Freezer	32529	1	131.294286
Laundry & Fridge Freezer	63760	1	55.401022
Laundry & Garage	69990	2	205.637681
Laundry & Garage Freezer	24373	1	104.939074
Laundry & Garage Fridge	27332	1	37.188510
Laundry & Hob	18032	1	92.182031
Laundry & Kitchen	24801	1	15.003878
Laundry & Kitchen Appliances	13040	1	259.593196
Laundry & Microwave	59477	1	172.131117
Laundry & Teenagers Bedroom	55442	1	47.665682
Laundry, Downstairs & Lounge	67393	1	239.235944
Laundry, Fridge & Freezer	71418	1	97.932778
Laundry, Fridge & Microwave	13310	1	63.839507
Laundry, Garage & 2 Bedrooms	19625	1	9.693883
Laundry, Garage & Guest Bed	9878	1	11.168184
Laundry, Garage Fridge Freezer	26083	1	124.968893
Laundry, Lounge, Garage, Bed	33011	1	108.082799
Laundry, Sauna & 2nd Fridge	68111	1	63.531697
Lighting	820108	20	105.181185
Lighting & 2 Towel Rail	56686	1	277.431468
Lighting (inc heat lamps)	32529	1	361.125774
Lighting 1/2	9236	1	-1.736804
Lighting 2/2	9236	1	7.948279
Lighting1	19407	1	440.831532
Lighting2	19407	1	42.555726
Lighting_Imag	7583	1	9.506655
Lights	47813	2	79.879469
Lounge, Dining & Bedrooms	17605	1	169.898890
Lower Bedrooms & Bathrooms	33684	1	43.393020
Mains	47813	2	1279.853903
Microwave	69310	1	41.629862
Microwave & Breadmaker	12416	1	59.207837
Oven	690851	15	37.712738
Oven & Hob	266871	4	57.892593
Oven & Hobb	24801	1	26.524159
Oven & Kitchen Appliances	18124	1	262.494127
Oven & Oven Wall Appliances	30311	1	38.180634
Oven, Hob & Microwave	55442	1	36.873183
PV	71418	1	-797.511960
PV & Garage	2885	1	-489.754476
PV & Storage	76868	1	-99.093187
PV 1	74276	1	-595.107455
PV 2	74276	1	-605.907211
Power Outlets	59477	1	37.493547
Range	28401	1	39.211287
Spa	68111	1	410.224412
Spa (HEMS)	76868	1	254.209273
Spa - Uncontrolled	74492	1	27.710956
Theatre Heat Pump	74276	1	2.908102
Upstairs Heat Pumps	76421	1	151.876469
Ventilation & Lounge Power	62880	1	396.925232
Wall Oven	19625	1	26.401845
Washing Machine	53554	1	3.657230
Workshop	69310	1	18.993755
imputedTotalDemand_circuitsToSum_v1.1	1828811	45	866.257358

8.2 Half hourly total load summary

Descriptive statistics for aggregate half hourly power data for all dwellings and all circuits:

## Skim summary statistics
##  n obs: 13489366 
##  n variables: 10 
## 
## ── Variable type:character ─────────────────────────────────────────────────────────────────────────────────
##      variable missing complete        n min max empty n_unique
##       circuit       0 13489366 13489366   7  37     0      298
##     circuitID 1828811 11660555 13489366   4   4     0      279
##  circuitLabel       0 13489366 13489366   2  37     0      139
##        linkID       0 13489366 13489366   5   6     0       45
## 
## ── Variable type:integer ───────────────────────────────────────────────────────────────────────────────────
##  variable missing complete        n  mean   sd p0 p25 p50 p75 p100
##      nObs       0 13489366 13489366 30.01 1.21  1  30  30  30   64
##      hist
##  ▁▁▁▇▁▁▁▁
## 
## ── Variable type:numeric ───────────────────────────────────────────────────────────────────────────────────
##    variable missing complete        n   mean      sd        p0 p25    p50
##   maxPowerW       0 13489366 13489366 619.11 1165.25  -6970.85   0 140.67
##  meanPowerW       0 13489366 13489366 298.9   713.74  -7627.66   0  76.81
##   minPowerW       0 13489366 13489366 124.06  562.91 -12407.52   0  15.49
##    sdPowerW     810 13488556 13489366 163.36  323.54      0      0  32.55
##     p75     p100     hist
##  599.67 30822.4  ▁▇▁▁▁▁▁▁
##  329.77 10981.59 ▁▁▁▇▁▁▁▁
##  150.37  9600.58 ▁▁▁▁▇▁▁▁
##  102.76  5627.37 ▇▁▁▁▁▁▁▁
## 
## ── Variable type:POSIXct ───────────────────────────────────────────────────────────────────────────────────
##            variable missing complete        n        min        max
##  r_dateTimeHalfHour       0 13489366 13489366 2014-01-06 2018-11-22
##      median n_unique
##  2016-04-19    82757

8.3 Per dwelling summaries of half-hourly power data

The following tables show descriptive statistics for the meanPowerW values for each circuit by dwelling.

## #-> Dwelling: rf_01

Table 8.2: rf_01: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heating$1633	960.23691	0.000	7084.992	28401
Hot water$1636	216.74744	0.000	1874.646	28401
Kitchen power$1632	203.90506	0.000	3048.565	28401
Lights$1635	118.29809	0.000	1102.658	28401
Mains$1634	1661.72822	90.722	10981.588	28401
Range$1637	39.21129	0.000	3550.979	28401
imputedTotalDemand_circuitsToSum_v1.1	1662.01730	90.722	10981.588	28401
All	694.59204	0.000	10981.588	198807

## #-> Dwelling: rf_02

Table 8.2: rf_02: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Cooking Bath tile heat$1573	135.77070	0.000	798.9143	19412
Fridge$1572	18.98057	0.000	126.3063	19412
Heating$1576	160.75117	0.000	3360.7323	19412
Hot Water$1574	234.30121	0.000	2215.7370	19412
Lights$1577	23.67056	0.000	559.3363	19412
Mains$1575	721.14730	25.467	7427.8692	19412
imputedTotalDemand_circuitsToSum_v1.1	721.25805	25.467	7427.8692	19412
All	287.98280	0.000	7427.8692	135884

## #-> Dwelling: rf_06

Table 8.2: rf_06: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water - Controlled$2248	419.57092	0.00000	2057.424	67393
Incomer - Uncontrolled$2249	525.93799	-1293.19033	5881.824	67393
Kitchen$2246	106.93703	0.00000	1723.618	67393
Laundry, Downstairs & Lounge$2245	239.23594	0.00000	2799.643	67393
Lighting$2244	116.61632	0.00000	2160.544	67393
Oven & Hob$2247	19.60169	-24.64467	3919.073	67393
imputedTotalDemand_circuitsToSum_v1.1	945.58519	-1284.93400	7143.127	67393
All	339.06930	-1293.19033	7143.127	471751

## #-> Dwelling: rf_07

Table 8.2: rf_07: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Incomer 1 - Uncontrolled$2726	256.32565	-41.633333	2999.776	69310
Incomer 2 - Uncontrolled$2725	349.88123	0.000000	5118.139	69310
Kitchen Appliances & Laundry$2722	202.35191	-41.100000	2440.366	69310
Microwave$2721	41.62986	0.000000	1788.205	69310
Oven$2724	104.75711	0.000000	3399.987	69310
Workshop$2723	18.99376	-7.428571	1759.159	69310
imputedTotalDemand_circuitsToSum_v1.1	606.24733	20.433333	5912.322	69310
All	225.74098	-41.633333	5912.322	485170

## #-> Dwelling: rf_08

Table 8.2: rf_08: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$2092	67.12562	0.000	2036.822	51639
Hot Water - Controlled$2094	272.31189	0.000	2366.140	51639
Incomer - Uncontrolled$2093	772.53902	244.899	6425.929	51639
Kitchen$2089	136.33455	0.000	2273.916	51639
Laundry & 2nd Fridge Freezer$2090	146.05024	0.000	3843.133	51639
Oven & Hob$2091	48.22041	0.000	3480.848	51639
imputedTotalDemand_circuitsToSum_v1.1	1044.94407	244.899	7882.448	51639
All	355.36083	0.000	7882.448	361473

## #-> Dwelling: rf_09

Table 8.2: rf_09: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump & Bedroom 2$2731	153.40526	-26.87667	3242.937	17605
Incomer 1 - Uncont - Inc Hob$2729	407.19026	38.83267	3396.080	17605
Incomer 2 - Uncont - Inc Oven$2730	241.25607	-26.04000	3920.391	17605
Kitchen Appliances$2727	110.67502	24.50100	1271.055	17605
Laundry$2732	16.05779	0.00000	1479.713	17605
Lounge, Dining & Bedrooms$2728	169.89889	0.00000	3062.734	17605
imputedTotalDemand_circuitsToSum_v1.1	648.58905	13.81733	5490.639	17605
All	249.58176	-26.87667	5490.639	123235

## #-> Dwelling: rf_10

Table 8.2: rf_10: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Bedrooms & Lounge$2602	130.08729	-358.24333	1319.592	60754
Heat Pump$2598	48.31930	0.00000	2510.320	60754
Incomer - All$2599	596.13591	89.53033	6202.287	60754
Kitchen Appliances$2601	107.85218	0.00000	2090.831	60754
Laundry & Garage$2597	223.85985	21.78100	3457.719	60754
Oven$2600	28.88877	0.00000	2444.982	60754
imputedTotalDemand_circuitsToSum_v1.1	596.16782	89.53033	6202.287	60754
All	247.33016	-358.24333	6202.287	425278

## #-> Dwelling: rf_11

Table 8.2: rf_11: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump & Lounge$2590	227.02831	0.0000000	3314.134	74492
Hob$2589	20.38968	-0.7333333	2354.543	74492
Hot Water Cpbd Heater- Cont$2586	75.77815	0.0000000	1955.707	74492
Incomer - Uncontrolled$2585	444.84877	22.5333333	5982.562	74492
Kitchen Appliances & Laundry$2588	141.11844	0.0000000	3144.275	74492
Spa - Uncontrolled$2587	27.71096	0.0000000	3044.716	74492
imputedTotalDemand_circuitsToSum_v1.1	548.36357	22.5333333	8698.006	74492
All	212.17684	-0.7333333	8698.006	521444

## #-> Dwelling: rf_12

Table 8.2: rf_12: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Incomer 1 - Hot Water - Cont$2626	431.69058	0.00000	3057.669	13310
Incomer 2 - Uncontrolled$2625	255.26592	16.27286	4005.747	13310
Incomer 3 - Uncontrolled$2627	93.38327	-32.41120	1023.548	13310
Kitchen Appliances & Lounge$2630	147.10153	-1.68640	2063.290	13310
Laundry, Fridge & Microwave$2628	63.83951	-26.40826	993.040	13310
Oven$2629	93.47560	0.00000	3676.903	13310
imputedTotalDemand_circuitsToSum_v1.1	780.43025	48.00048	6001.540	13310
All	266.45524	-32.41120	6001.540	93170

## #-> Dwelling: rf_13

Table 8.2: rf_13: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Downstairs (inc 1 Heat Pump)$2212	-8.074854	-2583.5016667	2967.435	76421
Hot Water - Controlled$2208	201.659286	0.0000000	2311.007	76421
Incomer - Uncontrolled$2209	1453.548584	141.7340000	9575.828	76421
Kitchen & Laundry$2213	433.057052	76.6173333	4445.761	76421
Oven & Hob$2210	108.064739	-0.5226667	3689.630	76421
Upstairs Heat Pumps$2211	151.876469	-46.2900000	2762.926	76421
imputedTotalDemand_circuitsToSum_v1.1	1453.681640	141.7340000	9575.828	76421
All	541.973274	-2583.5016667	9575.828	534947

## #-> Dwelling: rf_14

Table 8.2: rf_14: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water - Controlled$2719	229.63362	-525.4233	963.0263	59477
Incomer 1 - Uncont inc Stove$2718	280.63840	0.0000	4072.8347	59477
Incomer 2 - Uncont inc Oven$2717	102.71532	-1372.3987	2974.6097	59477
Kitchen Appliances$2715	75.55101	-586.9623	2694.3280	59477
Laundry & Microwave$2720	172.13112	0.0000	3690.1560	59477
Power Outlets$2716	37.49355	-944.9340	1939.8627	59477
imputedTotalDemand_circuitsToSum_v1.1	613.05153	-1120.3857	6565.6810	59477
All	215.88779	-1372.3987	6565.6810	416339

## #-> Dwelling: rf_15b

Table 8.2: rf_15b: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hob$3954	18.63477	-134.600000	1831.218	13040
Hot Water$3952	411.24684	0.000000	1998.152	13040
Incomer 1$3956	693.70182	1.139333	5209.020	13040
Incomer 2$3955	561.38914	-660.500000	5345.709	13040
Laundry & Kitchen Appliances$3951	259.59320	-564.166667	4637.651	13040
Oven$3953	31.02041	0.000000	1648.313	13040
imputedTotalDemand_circuitsToSum_v1.1	1255.17370	-586.433333	7318.499	13040
All	461.53712	-660.500000	7318.499	91280

## #-> Dwelling: rf_16

Table 8.2: rf_16: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hallway & Washing Machine$2683	108.15574	-4.552	990.3657	12416
Hot Water - Controlled$2679	299.68561	0.000	2327.8963	12416
Incomer 1 - Uncont inc Oven$2681	61.80580	0.000	2251.0390	12416
Incomer 2 - Uncont inc Stove$2680	176.84312	0.000	2164.4770	12416
Kitchen Appliances & Bedrooms$2684	39.71844	0.000	2247.6567	12416
Microwave & Breadmaker$2682	59.20784	0.000	756.9517	12416
imputedTotalDemand_circuitsToSum_v1.1	538.38054	23.855	4486.0077	12416
All	183.39958	-4.552	4486.0077	86912

## #-> Dwelling: rf_17a

Table 8.2: rf_17a: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$2148	25.98453	0.0000000	3489.125	32019
Hot Water - Controlled$2150	88.39686	-0.0333333	2056.734	32019
Incomer 1 - Uncont - inc Hob$2152	200.58446	21.2280000	4712.595	32019
Incomer 2 - Uncont - inc Oven$2151	237.83215	-376.0673333	4797.083	32019
Kitchen Appliances$2147	98.30310	-379.2153333	1748.831	32019
Laundry$2149	24.14114	0.0000000	2147.561	32019
imputedTotalDemand_circuitsToSum_v1.1	526.84766	-332.6076667	7611.202	32019
All	171.72713	-379.2153333	7611.202	224133

## #-> Dwelling: rf_17b

Table 8.2: rf_17b: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Incomer 1 - inc Top Oven$5620	137.337266	0.00000	2831.7230	9236
Incomer 2 - inc Bottom Oven$5621	216.669305	36.21833	2333.4967	9236
Kitchen Appliances$5625	22.834176	0.00000	622.9377	9236
Laundry & Garage$5624	85.773057	0.00000	2039.3000	9236
Lighting 1/2$5623	-1.736804	-68.60867	14.6000	9236
Lighting 2/2$5622	7.948279	0.00000	166.4357	9236
imputedTotalDemand_circuitsToSum_v1.1	354.009028	42.60500	3819.8710	9236
All	117.547758	-68.60867	3819.8710	64652

## #-> Dwelling: rf_18

Table 8.2: rf_18: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water - Controlled$2129	348.40618	-74.2000	2107.445	18032
Incomer 1 - Uncontrolled$2128	237.97939	0.0000	3485.951	18032
Incomer 2 - Uncontrolled$2130	857.55685	-890.5782	6400.352	18032
Kitchen Appliances & Ventilati$2131	438.88811	-500.2655	3044.483	18032
Laundry & Hob$2133	92.18203	0.0000	3457.229	18032
Oven$2132	35.22306	-1067.5630	2143.595	18032
imputedTotalDemand_circuitsToSum_v1.1	1444.10304	-373.0617	10051.113	18032
All	493.47695	-1067.5630	10051.113	126224

## #-> Dwelling: rf_19

Table 8.2: rf_19: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Bedroom & Lounge Heat Pumps$2741	92.8872070	0.0000000	2555.71900	74276
Incomer 1 - All$2738	-293.6615084	-3698.6333333	2592.05167	74276
Incomer 2 - All$2737	-296.0497400	-3929.0263333	4736.61867	74276
Kitchen Appliances$2735	13.3428002	-0.0333333	1504.76733	74276
Laundry$2734	20.1366382	0.0000000	3288.41833	74276
Oven$2736	0.3322254	-107.1110000	1698.06167	74276
PV 1$2739	-595.1074554	-3966.1063333	38.18667	74276
PV 2$2733	-605.9072110	-4037.0730000	27.97800	74276
Theatre Heat Pump$2740	2.9081021	-3.2666667	999.08700	74276
imputedTotalDemand_circuitsToSum_v1.1	-589.6747333	-7627.6596667	5541.25500	74276
All	-225.0793675	-7627.6596667	5541.25500	742760

## #-> Dwelling: rf_20

Table 8.2: rf_20: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump & Misc$2107	176.61447	-173.07200	1701.146	18124
Hob$2109	22.80259	-1820.11200	2409.673	18124
Hot Water - Controlled$2110	274.15836	0.00000	3163.168	18124
Incomer 1 - Uncontrolled$2112	265.53331	38.48700	3408.817	18124
Incomer 2 - Uncontrolled$2111	273.81090	-319.71800	2726.963	18124
Oven & Kitchen Appliances$2108	262.49413	39.13333	3397.599	18124
imputedTotalDemand_circuitsToSum_v1.1	813.60345	-79.40167	7239.907	18124
All	298.43103	-1820.11200	7239.907	126868

## #-> Dwelling: rf_21

Table 8.2: rf_21: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Fridge$2752	116.87211	0.000000	1212.828	33684
Heat Pump & Washing Machine$2750	113.52252	0.000000	3120.887	33684
Incomer - All$2748	483.35836	56.122000	5653.114	33684
Kitchen Appliances & Garage$2753	46.27248	-2.523333	1952.114	33684
Lower Bedrooms & Bathrooms$2751	43.39302	-2.128333	1429.159	33684
Oven$2749	26.93497	0.000000	2183.971	33684
imputedTotalDemand_circuitsToSum_v1.1	483.39078	56.122000	5653.114	33684
All	187.67775	-2.523333	5653.114	235788

## #-> Dwelling: rf_22

Table 8.2: rf_22: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water - Controlled$2236	355.44151	0.00000	2050.544	62880
Incomer - Uncontrolled$2237	936.13531	49.62267	6899.700	62880
Kitchen & Laundry$2234	199.11520	0.00000	2924.924	62880
Lighting$2232	300.74459	0.00000	3411.401	62880
Oven$2235	31.56112	-431.90800	2339.331	62880
Ventilation & Lounge Power$2233	396.92523	30.17100	4409.606	62880
imputedTotalDemand_circuitsToSum_v1.1	1291.67898	61.51000	8019.169	62880
All	501.65742	-431.90800	8019.169	440160

## #-> Dwelling: rf_23

Table 8.2: rf_23: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water - Controlled (HEMS)$2081	264.07706	0.000000	1459.965	76868
Incomer - Uncontrolled$2082	803.24770	-1632.683667	5942.441	76868
Kitchen, Laundry & Ventilation$2084	240.00245	41.791000	3810.431	76868
Oven$2085	40.11669	-1.840667	3301.906	76868
PV & Storage$2083	-99.09319	-2044.630667	2049.756	76868
Spa (HEMS)$2080	254.20927	0.000000	2126.470	76868
imputedTotalDemand_circuitsToSum_v1.1	1067.43802	-1632.683667	6676.896	76868
All	367.14257	-2044.630667	6676.896	538076

## #-> Dwelling: rf_24

Table 8.2: rf_24: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water - Controlled$2102	466.18275	-0.1333333	3200.062000	71418
Incomer - Uncontrolled$2101	-384.78016	-4316.0373333	3881.325333	71418
Kitchen$2104	40.45919	0.0000000	1838.259167	71418
Laundry, Fridge & Freezer$2105	97.93278	-25.6320000	1286.747667	71418
Oven & Hob$2103	47.33216	0.0000000	3357.078333	71418
PV$2106	-797.51196	-4549.2590000	5.766667	71418
imputedTotalDemand_circuitsToSum_v1.1	81.42552	-4316.0373333	6319.660667	71418
All	-64.13710	-4549.2590000	6319.660667	499926

## #-> Dwelling: rf_25

Table 8.2: rf_25: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$2758	88.88346	-0.0333333	1734.691	23570
Hob & Kitchen Appliances$2759	349.55367	0.0000000	2379.292	23570
Hot Water - Controlled$2761	258.40103	0.0000000	2853.940	23570
Incomer 1 - Uncontrolled $2763	462.20069	0.0000000	4566.728	23570
Incomer 2 - Uncontrolled $2762	397.27281	0.0000000	2478.952	23570
Oven$2760	52.59379	0.0000000	1777.121	23570
imputedTotalDemand_circuitsToSum_v1.1	859.53641	19.0990000	5062.934	23570
All	352.63455	-0.0333333	5062.934	164990

## #-> Dwelling: rf_26

Table 8.2: rf_26: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Incomer 1 - All$2703	260.89635	-65.777778	3598.296	68111
Incomer 2 - All$2704	453.05564	-544.655333	4118.930	68111
Kitchen Appliances$2706	51.20405	-3.982778	2322.703	68111
Laundry, Sauna & 2nd Fridge$2707	63.53170	-7.444444	2557.823	68111
Oven$2705	15.13220	0.000000	2590.046	68111
Spa$2708	410.22441	0.000000	3374.302	68111
imputedTotalDemand_circuitsToSum_v1.1	714.04157	-413.799333	6058.264	68111
All	281.15513	-544.655333	6058.264	476777

## #-> Dwelling: rf_27

Table 8.2: rf_27: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Bed 2, 2nd Fridge$2828	80.17973	0.00000	926.5203	30311
Heat Pump$2826	138.45418	0.00000	2457.0843	30311
Hot Water - Controlled$2825	278.22393	0.00000	1625.1450	30311
Incomer - Uncontrolled$2824	839.96004	135.34800	6587.1657	30311
Kitchen, Laundry & Beds 1&3$2829	344.66051	19.90727	2555.6150	30305
Oven & Oven Wall Appliances$2827	38.18063	0.00000	2495.7013	30311
imputedTotalDemand_circuitsToSum_v1.1	1118.44838	138.38567	6806.3293	30311
All	405.44563	0.00000	6806.3293	212171

## #-> Dwelling: rf_28

Table 8.2: rf_28: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4219	51.89516	0.000000	2463.9630	2885
Incomer - All$4221	-135.60611	-2794.550333	4676.1890	2885
Kitchen Appliances$4216	69.36095	-3.636364	1428.4331	2885
Laundry$4217	27.77702	0.000000	333.0917	2885
Lighting$4218	32.79797	0.000000	226.4063	2885
PV & Garage$4220	-489.75448	-3071.270333	93.1820	2885
imputedTotalDemand_circuitsToSum_v1.1	-135.49572	-2794.550333	4676.1890	2885
All	-82.71789	-3071.270333	4676.1890	20195

## #-> Dwelling: rf_29

Table 8.2: rf_29: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump & Kitchen Appliances$4186	592.044069	0.000000	3760.9203	59922
Hot Water - Controlled$4184	339.925815	0.000000	3242.0953	59922
Incomer - Uncontrolled$4181	1262.522415	21.500000	6046.0460	59922
Laundry$4185	3.586081	-1.773684	184.7330	59922
Lighting$4183	88.229156	0.000000	740.6183	59922
Oven$4182	26.576065	0.000000	3484.1950	59922
imputedTotalDemand_circuitsToSum_v1.1	1602.535408	21.500000	8395.3977	59922
All	559.345573	-1.773684	8395.3977	419454

## #-> Dwelling: rf_30

Table 8.2: rf_30: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water - Controlled$4238	190.47906	-1.314333	1473.254	24801
Incomer - All$4239	743.47460	115.755333	5173.553	24801
Kitchen Appliances$4234	286.83927	50.316000	2617.753	24801
Laundry & Kitchen$4235	15.00388	0.000000	1073.849	24801
Lighting$4236	114.88548	-0.367000	1440.129	24801
Oven & Hobb$4237	26.52416	0.000000	2908.371	24801
imputedTotalDemand_circuitsToSum_v1.1	743.53834	115.755333	5173.553	24801
All	302.96354	-1.314333	5173.553	173607

## #-> Dwelling: rf_31

Table 8.2: rf_31: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4204	132.24442	0.000	2462.601	63461
Hot Water - Controlled$4200	54.63796	0.000	1917.637	63461
Incomer - All$4199	682.24437	39.786	7101.946	63461
Kitchen Appliances$4201	147.20703	0.000	3227.045	63461
Laundry$4202	20.63545	0.000	2096.166	63461
Lighting$4203	75.32588	0.000	1299.301	63461
imputedTotalDemand_circuitsToSum_v1.1	682.31377	39.786	7101.946	63461
All	256.37270	0.000	7101.946	444227

## #-> Dwelling: rf_32

Table 8.2: rf_32: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	maxPowerW	nObs
Heat Pump$4196	67.805397	2470.511	18044
Hot Water - Controlled$4198	283.857462	1480.453	18044
Incomer - All$4193	677.663999	7882.022	18044
Kitchen Appliances$4195	113.946538	2454.631	18044
Laundry$4194	5.242116	1700.831	18044
Lighting$4197	22.238769	751.784	18044
imputedTotalDemand_circuitsToSum_v1.1	677.714009	7882.022	18044
All	264.066899	7882.022	126308

## #-> Dwelling: rf_33

Table 8.2: rf_33: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water - Controlled$4144	288.89318	0.0000	2147.5373	55442
Incomer - Uncontrolled$4143	519.82255	138.1567	5115.2227	55442
Kitchen Appliances & Heat Pump$4140	272.44582	62.9900	3180.3123	55442
Laundry & Teenagers Bedroom$4139	47.66568	0.0000	1804.7990	55442
Lighting$4142	24.82534	0.0000	731.3517	55442
Oven, Hob & Microwave$4141	36.87318	0.0000	3614.1510	55442
imputedTotalDemand_circuitsToSum_v1.1	808.81569	138.1567	7016.9233	55442
All	285.62021	0.0000	7016.9233	388094

## #-> Dwelling: rf_34

Table 8.2: rf_34: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	maxPowerW	nObs
Heat Pump$4223	196.46816	4982.931	24373
Hot Water - Uncontrolled$4224	329.87038	3901.050	24373
Incomer - All$4225	1159.39702	9469.695	24373
Kitchen Appliances$4226	178.94462	2362.236	24373
Laundry & Garage Freezer$4227	104.93907	2209.190	24373
Lighting$4222	96.63415	1078.365	24373
imputedTotalDemand_circuitsToSum_v1.1	1159.42800	9469.695	24373
All	460.81163	9469.695	170611

## #-> Dwelling: rf_35

Table 8.2: rf_35: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4124	58.91764	0.0000	1329.501	26083
Hot Water - Uncontrolled$4125	238.36225	-208.2333	2967.400	26083
Incomer - Uncontrolled$4126	1101.61843	118.8083	5252.648	26083
Kitchen Appliances$4121	91.91850	0.0000	1670.461	26083
Laundry, Garage Fridge Freezer$4122	124.96889	25.6400	2389.454	26083
Lighting$4123	74.64069	0.0000	869.856	26083
imputedTotalDemand_circuitsToSum_v1.1	1340.13736	118.8083	7202.184	26083
All	432.93768	-208.2333	7202.184	182581

## #-> Dwelling: rf_36

Table 8.2: rf_36: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4150	104.85081	0.0000000	2566.7637	53554
Hot Water - Uncontrolled$4147	296.36297	-2.2786667	3137.1947	53554
Incomer - All$4148	830.22911	20.0350000	9557.4647	53554
Kitchen Appliances$4145	34.22702	-9.3226667	2367.1767	53554
Lighting$4149	49.72965	-0.7756667	677.3097	53554
Washing Machine$4146	3.65723	-0.7916667	454.5093	53554
imputedTotalDemand_circuitsToSum_v1.1	830.31644	20.0350000	9557.4647	53554
All	307.05332	-9.3226667	9557.4647	374878

## #-> Dwelling: rf_37

Table 8.2: rf_37: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4134	48.81921	-64.270	2224.3923	63760
Hot Water - Controlled$4135	279.51827	0.000	3152.7550	63760
Incomer -Uncontrolled$4136	291.47084	43.309	3890.5817	63760
Kitchen Appliances$4137	141.99467	19.348	1505.9013	63760
Laundry & Fridge Freezer$4138	55.40102	0.000	1136.2677	63760
Lighting$4133	14.65210	0.000	520.4113	63760
imputedTotalDemand_circuitsToSum_v1.1	571.01905	43.309	5955.6347	63760
All	200.41074	-64.270	5955.6347	446320

## #-> Dwelling: rf_38

Table 8.2: rf_38: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4175	242.51194	-7.850667	2485.8203	33011
Hot Water - Controlled$4178	483.01857	-1.962667	3058.4537	33011
Incomer - Uncontrolled$4177	567.92404	53.086000	4309.8773	33011
Kitchen, Dining & Office$4179	118.83712	0.000000	2221.4497	33011
Laundry, Lounge, Garage, Bed$4180	108.08280	0.000000	871.6080	33011
Lighting$4176	50.85886	0.000000	728.8043	33011
imputedTotalDemand_circuitsToSum_v1.1	1050.97562	53.868000	6621.2760	33011
All	374.60128	-7.850667	6621.2760	231077

## #-> Dwelling: rf_39

Table 8.2: rf_39: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Hot Water (2 elements)$4247	398.64564	0.00000	3317.472	56686
Incomer - Uncontrolled$4248	1536.80037	142.28900	8563.603	56686
Kitchen Appliances$4244	196.30065	-40.22077	2766.920	56686
Lighting & 2 Towel Rail$4245	277.43147	0.00000	2101.948	56686
Oven$4246	52.06442	0.00000	3053.337	56686
imputedTotalDemand_circuitsToSum_v1.1	1935.63494	142.28900	10760.555	56686
All	732.81291	-40.22077	10760.555	340116

## #-> Dwelling: rf_40

Table 8.2: rf_40: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump (x2) & Lounge Power$4166	330.6677	0.0000000	5340.9140	11618
Hot Water - Controlled$4167	336.3902	0.0000000	1991.9203	11618
Incomer - Uncontrolled$4168	855.0246	46.7286364	7003.3600	11618
Kitchen Appliances$4163	137.8220	-13.1000000	1936.0547	11618
Laundry$4164	20.8082	-0.0833333	2218.3740	11618
Lighting$4165	144.2461	0.0000000	792.7483	11618
imputedTotalDemand_circuitsToSum_v1.1	1191.5785	46.7286364	7855.8450	11618
All	430.9339	-13.1000000	7855.8450	81326

## #-> Dwelling: rf_41

Table 8.2: rf_41: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4190	53.39034	0.00000	3579.525	50530
Incomer - All$4192	1028.85063	100.08300	7580.263	50530
Kitchen Appliances$4187	294.08670	32.34867	3484.788	50530
Laundry$4188	139.47248	16.19667	3301.477	50530
Lighting$4189	150.42851	0.00000	1783.119	50530
Oven$4191	35.37397	0.00000	2443.117	50530
imputedTotalDemand_circuitsToSum_v1.1	1029.11708	100.08300	7580.263	50530
All	390.10282	0.00000	7580.263	353710

## #-> Dwelling: rf_42

Table 8.2: rf_42: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4130	44.57885	0.000	2394.087	32529
Hot Water - Uncontrolled$4131	369.39064	0.000	3082.225	32529
Incomer - All$4132	1230.59328	78.113	9511.441	32529
Kitchen Appliances$4127	161.60835	0.000	2225.846	32529
Laundry & Freezer$4128	131.29429	0.000	1633.096	32529
Lighting (inc heat lamps)$4129	361.12577	0.000	3528.905	32529
imputedTotalDemand_circuitsToSum_v1.1	1230.65249	78.113	9511.441	32529
All	504.17767	0.000	9511.441	227703

## #-> Dwelling: rf_43

Table 8.2: rf_43: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4211	195.49477	0.00	1717.945	9878
Incomer - All$4213	626.78328	16.40	4220.100	9878
Kitchen Appliances$4210	134.94147	0.00	2657.540	9878
Laundry, Garage & Guest Bed$4215	11.16818	0.00	343.220	9878
Lighting$4212	101.58944	0.00	1003.771	9878
Oven$4214	15.43599	-4.37	2011.064	9878
imputedTotalDemand_circuitsToSum_v1.1	626.83708	16.40	4220.100	9878
All	244.60717	-4.37	4220.100	69146

## #-> Dwelling: rf_44

Table 8.2: rf_44: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4154	100.53545	-51.46967	2088.850	63527
Hot Water - Controlled$4155	491.27149	0.00000	3317.720	63527
Incomer - Uncontrolled$4156	606.20982	77.37600	6656.751	63527
Kitchen Appliances$4151	123.97803	0.00000	2312.836	63527
Laundry $4152	33.07550	0.00000	2336.731	63527
Lighting$4153	95.11141	0.00000	1485.102	63527
imputedTotalDemand_circuitsToSum_v1.1	1097.55765	77.37600	9833.222	63527
All	363.96276	-51.46967	9833.222	444689

## #-> Dwelling: rf_45

Table 8.2: rf_45: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump$4160	94.24142	0.000	2654.288	27332
Hot Water - Controlled$4158	316.89667	0.000	3096.385	27332
Incomer - Uncontrolled$4157	455.17969	30.576	4620.431	27332
Kitchen Appliances$4161	92.33676	0.000	1757.619	27332
Laundry & Garage Fridge$4162	37.18851	0.000	1716.550	27332
Lighting$4159	82.99439	0.000	1686.921	27332
imputedTotalDemand_circuitsToSum_v1.1	772.12751	30.576	7298.491	27332
All	264.42357	0.000	7298.491	191324

## #-> Dwelling: rf_46

Table 8.2: rf_46: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pumps (2x) & Power$4232	250.567902	5.9150000	2959.36400	45290
Heat Pumps (2x) & Power$4399	-47.900913	-242.3875862	452.67700	36699
Heat Pumps (2x) & Power1$4232	235.389913	5.9150000	2959.36400	19407
Heat Pumps (2x) & Power2$4399	-66.279776	-241.6986667	249.05133	19407
Heat Pumps (2x) & Power_Imag$4399	-105.075756	-269.7236667	250.48667	7583
Hot Water - Controlled$4231	232.173040	-2.4533333	2136.31467	45290
Hot Water - Controlled$4400	2.360899	-31.1823333	52.38333	36699
Hot Water - Controlled1$4231	264.633198	-0.5696667	2137.98800	19407
Hot Water - Controlled2$4400	2.892765	-26.6316667	56.67100	19407
Hot Water - Controlled_Imag$4400	1.385089	-32.4076667	89.83967	7583
Incomer - Uncontrolled$4230	1286.215901	136.3493333	8336.38900	45290
Incomer - Uncontrolled$4401	221.695045	-234.9800000	1400.39000	36699
Incomer - Uncontrolled1$4230	1602.818895	188.3213333	8336.38900	19407
Incomer - Uncontrolled2$4401	308.790044	-171.7506667	1291.09467	19407
Incomer - Uncontrolled_Imag$4401	164.224745	-280.3576667	1306.42600	7583
Incomer Voltage$4405	233.044650	217.7060000	238.86733	48543
Kitchen & Bedrooms$4229	163.253834	0.0000000	2106.42233	45290
Kitchen & Bedrooms$4402	47.121095	-45.3023333	334.21533	36699
Kitchen & Bedrooms1$4229	117.717179	0.0000000	1436.52000	19407
Kitchen & Bedrooms2$4402	39.627458	-37.7376667	205.68133	19407
Kitchen & Bedrooms_Imag$4402	98.201280	-41.4986667	204.52167	7583
Laundry & Bedrooms$4228	228.305912	0.0000000	3784.37833	45290
Laundry & Bedrooms$4403	92.507158	-60.2600000	798.75467	36699
Laundry & Bedrooms1$4228	285.920723	0.0000000	3784.37833	19407
Laundry & Bedrooms2$4403	105.456512	-42.1250000	732.26300	19407
Laundry & Bedrooms_Imag$4403	4.987965	-113.9056667	439.69933	7583
Lighting$4233	331.123502	0.0000000	2187.10800	45290
Lighting$4404	29.693003	-127.2770000	496.45367	36699
Lighting1$4233	440.831532	41.4000000	2187.10800	19407
Lighting2$4404	42.555726	-127.2770000	415.55300	19407
Lighting_Imag$4404	9.506655	-96.2106667	471.37133	7583
imputedTotalDemand_circuitsToSum_v1.1	1504.213795	136.3493333	10156.21067	49551
All	320.458233	-280.3576667	10156.21067	868410

## #-> Dwelling: rf_47

Table 8.2: rf_47: Mean of half-hourly mean power (W) by circuit type
circuit	meanPowerW	minPowerW	maxPowerW	nObs
Heat Pump & 2 x Bathroom Heat$4171	119.058261	0.000000	3559.722	19625
Incomer - All$4170	415.505533	67.949333	6192.582	19625
Kitchen Power & Heat, Lounge$4174	142.513254	13.809667	2670.404	19625
Laundry, Garage & 2 Bedrooms$4173	9.693883	-1.472000	1773.141	19625
Lighting$4172	22.702200	0.000000	1089.850	19625
Wall Oven$4169	26.401845	-2.422667	2473.255	19625
imputedTotalDemand_circuitsToSum_v1.1	415.526033	67.949333	6192.582	19625
All	164.485858	-2.422667	6192.582	137375

9 Runtime

Analysis completed in 343.8 seconds ( 5.73 minutes) using knitr in RStudio with R version 3.5.2 (2018-12-20) running on x86_64-apple-darwin15.6.0.

10 R environment

10.1 R packages used

base R (R Core Team 2016)
bookdown (Xie 2016a)
data.table (Dowle et al. 2015)
ggplot2 (Wickham 2009)
kableExtra (Zhu 2018)
knitr (Xie 2016b)
lubridate (Grolemund and Wickham 2011)
rmarkdown (Allaire et al. 2018)

10.2 Session info

## R version 3.5.2 (2018-12-20)
## Platform: x86_64-apple-darwin15.6.0 (64-bit)
## Running under: macOS High Sierra 10.13.6
## 
## Matrix products: default
## BLAS: /System/Library/Frameworks/Accelerate.framework/Versions/A/Frameworks/vecLib.framework/Versions/A/libBLAS.dylib
## LAPACK: /Library/Frameworks/R.framework/Versions/3.5/Resources/lib/libRlapack.dylib
## 
## locale:
## [1] en_NZ.UTF-8/en_NZ.UTF-8/en_NZ.UTF-8/C/en_NZ.UTF-8/en_NZ.UTF-8
## 
## attached base packages:
## [1] stats     graphics  grDevices utils     datasets  methods   base     
## 
## other attached packages:
##  [1] kableExtra_1.1.0         ggplot2_3.1.1           
##  [3] curl_3.3                 bookdown_0.10           
##  [5] rmarkdown_1.13           GREENGridEECA_0.0.0.9000
##  [7] GREENGridData_1.0        lubridate_1.7.4         
##  [9] here_0.1                 data.table_1.12.2       
## 
## loaded via a namespace (and not attached):
##  [1] progress_1.2.2    tidyselect_0.2.5  xfun_0.7         
##  [4] reshape2_1.4.3    purrr_0.3.2       colorspace_1.4-1 
##  [7] htmltools_0.3.6   viridisLite_0.3.0 yaml_2.2.0       
## [10] rlang_0.3.4       R.oo_1.22.0       pillar_1.4.1     
## [13] withr_2.1.2       glue_1.3.1        R.utils_2.8.0    
## [16] readxl_1.3.1      plyr_1.8.4        stringr_1.4.0    
## [19] munsell_0.5.0     gtable_0.3.0      cellranger_1.1.0 
## [22] rvest_0.3.3       R.methodsS3_1.7.1 evaluate_0.13    
## [25] labeling_0.3      knitr_1.23        forcats_0.4.0    
## [28] highr_0.8         Rcpp_1.0.1        readr_1.3.1      
## [31] backports_1.1.4   scales_1.0.0      webshot_0.5.1    
## [34] hms_0.4.2         packrat_0.5.0     digest_0.6.19    
## [37] stringi_1.4.3     dplyr_0.8.1       rprojroot_1.3-2  
## [40] grid_3.5.2        cli_1.1.0         tools_3.5.2      
## [43] magrittr_1.5      lazyeval_0.2.2    tibble_2.1.2     
## [46] tidyr_0.8.3       crayon_1.3.4      pkgconfig_2.0.2  
## [49] xml2_1.2.0        prettyunits_1.0.2 skimr_1.0.5      
## [52] assertthat_0.2.1  httr_1.4.0        rstudioapi_0.10  
## [55] R6_2.4.0          compiler_3.5.2

References

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, and Winston Chang. 2018. Rmarkdown: Dynamic Documents for R. https://CRAN.R-project.org/package=rmarkdown.

Anderson, Ben. 2019. University of Otago: Centre for Sustainability. https://cfsotago.github.io/GREENGridData/reportTotalPower_circuitsToSum_v1.1.html.

Dowle, M, A Srinivasan, T Short, S Lianoglou with contributions from R Saporta, and E Antonyan. 2015. Data.table: Extension of Data.frame. https://CRAN.R-project.org/package=data.table.

Grolemund, Garrett, and Hadley Wickham. 2011. “Dates and Times Made Easy with lubridate.” Journal of Statistical Software 40 (3): 1–25. http://www.jstatsoft.org/v40/i03/.

R Core Team. 2016. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Stephenson, Janet, Rebecca Ford, Nirmal-Kumar Nair, Neville Watson, Alan Wood, and Allan Miller. 2017. “Smart Grid Research in New Zealand–A Review from the GREEN Grid Research Programme.” Renewable and Sustainable Energy Reviews 82 (1): 1636–45. https://doi.org/10.1016/j.rser.2017.07.010.

Wickham, Hadley. 2009. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. http://ggplot2.org.

Xie, Yihui. 2016a. Bookdown: Authoring Books and Technical Documents with R Markdown. Boca Raton, Florida: Chapman; Hall/CRC. https://github.com/rstudio/bookdown.

———. 2016b. Knitr: A General-Purpose Package for Dynamic Report Generation in R. https://CRAN.R-project.org/package=knitr.

Zhu, Hao. 2018. KableExtra: Construct Complex Table with ’Kable’ and Pipe Syntax. https://CRAN.R-project.org/package=kableExtra.

NZ GREEN Grid Household Electricity Demand Data

EECA Data Processing (Part A) Report v0.9b

Ben Anderson

Last run at: 2019-09-05 15:32:11 (Pacific/Auckland)

1 About

1.1 Citation

1.2 Report circulation:

1.3 License

1.4 History

1.5 Support

2 Introduction

3 Data

4 Multi-year data availability

5 Imputation of ‘total load’ per minute per dwelling

6 Development of a half-hourly power demand dataset

6.1 Lighting

6.2 Hot water

6.3 Heat pumps

6.4 Kitchen

6.5 Non-heat pump ‘Heat’

6.6 Refrigerator/Fridge

6.7 Freezer

6.8 Oven

6.9 Photovoltaic panels

6.10 Total load

7 Summary

8 Data Annex

8.1 Circuit labels (all)

8.2 Half hourly total load summary

8.3 Per dwelling summaries of half-hourly power data

9 Runtime

10 R environment

10.1 R packages used

10.2 Session info

References